Profile Picture Open Data NY - DOH

created Jul 11 2014

updated Jul 19 2024

Description

This line chart shows the observed vs. expected Potentially Preventable Complication (PPC) rates for all payer beneficiaries by hospital.
The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009. The Potentially Preventable Complications (PPC), obtained from
software created by 3M Health Information Systems, are
harmful events or negative outcomes that develop after hospital
admission and may result from processes of care and treatment
rather than from natural progression of the underlying illness
and are therefore potentially preventable.
The rates were calculated using Statewide Planning and
Research Cooperative System (SPARCS) inpatient data.
The observed, expected and risk adjusted rates for PPC are
presented by hospital (including a statewide total).
For more information, check out:
http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset..

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Category
Health
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Tags
quality-safety-costs, strategic initiatives, sparcs, ppc, potentially preventable complication, efficiency, all payer, inpatient
SODA2 Only
Yes
Licensing and Attribution
Data Provided By
Office of Quality and Patient Safety
Source Link
http://www.health.ny.gov/statistics/sparcs/
Dataset Information
Agency
Health, Department of
Dataset Summary
Time Period
Rates are based on hospital inpatient data for each calendar year beginning with 2009.
Dataset Owner
Bureau of Health Care Analytics
Coverage
Statewide
Granularity
Hospital
Units
1)Observed Rate= PPC Discharges / At Risk Discharges *10,000 2) Expected Rate= Expected PPC Discharges / At Risk Discharges *10,000 3) Risk Adjusted PPC Rate= observed PPC rate/ expected PPC rate*statewide PPC rate 4) Difference in Rates=Observed Discharges - Expected Discharges
Organization
New York State Department of Health
Data Frequency
Annually
Disclaimers
Limitations
Hospitals that did not have accurate present on admission (POA) variable reporting, as determined by POA validation testing, had all their discharges excluded from the analysis dataset.
Notes
Notes
3M PPC Software version by year of the data: 2009‐2012 ‐ Version 31 2013 ‐ Version 32 To calculate rates, discharges at risk for PPC assignment were used as the denominator. Rates were adjusted using APR‐DRG and severity of illness (SOI).
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